MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
作者提供的说明(英文原文)
Provar MCP: AI-powered Salesforce test automation. Generate, validate, migrate, and run tests.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"provar": {
"command": "npx",
"args": [
"-y",
"@provartesting/provardx-cli"
]
}
}
}在终端中运行这条命令
claude mcp add provar -- npx -y @provartesting/provardx-cli粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"provar": {
"command": "npx",
"args": [
"-y",
"@provartesting/provardx-cli"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"provar": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@provartesting/provardx-cli"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 ProvarTesting 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.6.5)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
The Provar DX CLI is a Salesforce CLI plugin for Provar customers who want to automate the execution of tests using Provar Automation, and the reporting of test results and other quality-related metrics to Provar Quality Hub.
Requires Node.js 18–24 (LTS 22 recommended). Node 25+ is not yet supported due to a breaking change in a transitive dependency. Check with node --version.
Install the plugin
$ sf plugins install @provartesting/provardx-cli
Update plugins
$ sf plugins update
Uninstall the plugin
$ sf plugins uninstall @provartesting/provardx-cli
The Provar DX CLI includes a built-in Model Context Protocol (MCP) server that connects AI assistants (Claude Desktop, Claude Code, Cursor) directly to your Provar project. Once connected, an AI agent can inspect your project structure, generate Page Objects and test cases, validate every level of the test hierarchy with quality scores, and work with NitroX (Hybrid Model) component page objects for LWC, Screen Flow, Industry Components, Experience Cloud, and HTML5.
Validation runs in two modes: local only (structural rules, no key required) or Quality Hub API (170+ rules, quality scoring — requires a pv_k_ API key). Don't have an account? [Request access](https://aqqlrlhga7.execute-api.us-east-1.amazonaws.com/dev/auth/request-access).
Requires: Provar Automation IDE installed with an activated license. Node.js 18–24 must be on your PATH.
No prior setup needed. Paste this into your Claude Desktop config file and restart the app:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json{
"mcpServers": { "provar": { "command": "npx", "args": ["-y", "@provartesting/provardx-cli", "mcp", "start", "--allowed-paths", "/path/to/your/provar/project"] } } }
npx -y downloads the package automatically on first use — no sf or separate install step required.
Claude Code — run once to register the server:
claude mcp add provar -s user -- npx -y @provartesting/provardx-cli mcp start --allowed-paths /path/to/your/provar/project
Prefer a persistent global install? Install once, then use the sf command:
# 1. Install the plugin
sf plugins install @provartesting/provardx-cli
sf provar auth login
Claude Desktop config using the global install:
{
"mcpServers": { "provar": { "command": "sf", "args": ["provar", "mcp", "start", "--allowed-paths", "/path/to/your/provar/project"] } } }
Windows (Claude Desktop): Use
sf.cmdinstead ofsfif the server fails to start.
Claude Code using the global install:
claude mcp add provar -s user -- sf provar mcp start --allowed-paths /path/to/your/provar/project
📖 [docs/mcp.md](https://github.com/ProvarTesting/provardx-cli/blob/main/docs/mcp.md) — full setup, all 43 tools, 6 resources, 11 MCP prompts, troubleshooting.
sf provar auth loginsf provar auth rotatesf provar auth statussf provar auth clearsf provar mcp startsf provar config getsf provar config setsf provar automation config generatesf provar automation config loadsf provar automation config validatesf provar automation config getsf provar automation config setsf provar automation setupsf provar automation project compilesf provar automation metadata downloadsf provar automation test runsf provar quality-hub connectsf provar quality-hub displaysf provar quality-hub opensf provar quality-hub testcase retrievesf provar quality-hub test runsf provar quality-hub test run reportsf provar quality-hub test run abortsf provar manager connect _(deprecated — use sf provar quality-hub connect)_sf provar manager display _(deprecated — use sf provar quality-hub display)_sf provar manager open _(deprecated — use sf provar quality-hub open)_sf provar manager testcase retrieve _(deprecated — use sf provar quality-hub testcase retrieve)_sf provar manager test run _(deprecated — use sf provar quality-hub test run)_sf provar manager test run report _(deprecated — use sf provar quality-hub test run report)_sf provar manager test run abort _(deprecated — use sf provar quality-hub test run abort)_sf provar auth loginLog in to Provar Quality Hub and store your API key.
USAGE
$ sf provar auth login [--url ]
FLAGS --url= Override the Quality Hub API base URL (for non-production environments).
DESCRIPTION Opens a browser to the Provar login page. After you authenticate, your API key is stored at ~/.provar/credentials.json and used automatically by the Provar MCP tools and CI/CD integrations. The key is valid for approximately 90 days.
For CI/CD pipelines (GitHub Actions, Jenkins, etc.) where a browser cannot open: run sf provar auth login once on your local machine, copy the api_key value from ~/.provar/credentials.json, and store it as the PROVAR_API_KEY environment variable or secret in your pipeline. Rotate the secret every ~90 days when the key expires.
Don't have an account? Request access at: https://aqqlrlhga7.execute-api.us-east-1.amazonaws.com/dev/auth/request-access
EXAMPLES Log in interactively:
$ sf provar auth login
Log in against a staging environment:
$ sf provar auth login --url https://dev.api.example.com
sf provar auth rotateRotate your stored API key without re-authenticating via browser.
USAGE
$ sf provar auth rotate
DESCRIPTION Exchanges your current pv_k_ key for a new one atomically. The old key is invalidated immediately. The new key is written to ~/.provar/credentials.json.
Use this to rotate your key on a regular schedule (~every 90 days) without going through the browser login flow. If your current key is already expired, run sf provar auth login instead.
EXAMPLES Rotate the stored API key:
$ sf provar auth rotate
sf provar auth statusShow the current API key configuration and validate it against Quality Hub.
USAGE
$ sf provar auth status
DESCRIPTION Reports whether an API key is configured, where it came from (environment variable or credentials file), and performs a live check against the Quality Hub API to confirm the key is still valid.
EXAMPLES Check auth status:
$ sf provar auth status
sf provar auth clearRemove the stored API key.
USAGE
$ sf provar auth clear
DESCRIPTION Deletes ~/.provar/credentials.json and revokes the key server-side. After clearing, the MCP tools fall back to local validation mode. Has no effect if no key is stored.
EXAMPLES Remove the stored key:
$ sf provar auth clear
sf provar mcp startStart a local MCP server for Provar tools over stdio transport.
USAGE
$ sf provar mcp start [-a ...]
FLAGS -a, --allowed-paths= ... Allowed base directory paths for file operations. Defaults to the current working directory. Repeat the flag to allow multiple paths.
DESCRIPTION Launches a stateless MCP (Model Context Protocol) server that exposes Provar tools to AI assistants (Claude Desktop, Claude Code, Cursor) via stdio transport. All MCP JSON-RPC communication happens over stdout; all internal logging goes to stderr.
Note: --json is not available on this command — stdout is reserved for MCP traffic.
TOOLS EXPOSED 43 tools across: project inspection & org describe, Page Object and test-case authoring/validation, test-suite/plan validation, properties files, Quality Hub (test runs, defects, corpus examples), Provar Automation, ANT build, and NitroX components. See docs/mcp.md for the full catalogue with schemas and examples.
EXAMPLES Start MCP server (accepts stdio connections from Claude Desktop / Cursor):
$ sf provar mcp start
Start with an explicit allowed path:
$ sf provar mcp start --allowed-paths /workspace/provar
Allow multiple directories:
$ sf provar mcp start -a /workspace/project-a -a /workspace/project-b
📖 Full tool documentation and client configuration: [docs/mcp.md](https://github.com/ProvarTesting/provardx-cli/blob/main/docs/mcp.md)
sf provar config getRetrieve a value from the specified JSON file.
USAGE
$ sf provar config get -f [--json]
FLAGS -f, --file-path= (required) File path of the JSON file to get the property value from.
GLOBAL FLAGS --json Format output as json.
DESCRIPTION Retrieve a value from the specified JSON file.
EXAMPLES Get the testEnvironment value within the environment property from the config.json file:
$ sf provar config get environment.testEnvironment -f config.json
sf provar config setSet one or more properties in the specified JSON file.
USAGE
$ sf provar config set [--json]
FLAGS -f, --file-path= (required) File path of the JSON file to get the property value from.
GLOBAL FLAGS --json Format output as json.
DESCRIPTION Set one or more properties in the specified JSON file.
EXAMPLES Set the environment to “SIT” in the config.json properties file:
$ sf provar config set environment.testEnvironment="SIT" -f config.json
Set the testEnvironment to “SIT” and the webBrowser to “Chrome”, within the environment property.
$ sf provar config set environment.testEnvironment="SIT" environment.webBrowser="Chrome" -f config.json
Set testCases to a list of test case paths in the config.json properties file.
$ sf provar config set testCases='["tests/myTestCase.testcase","tests/testSuite1/myTestCase1.testCase"]' -f config.json
sf provar automation config generateGenerate a boilerplate ProvarDX properties file.
USAGE
$ sf provar automation config generate [--json] [-p ]
FLAGS -p, --properties-file=
只显示了开头部分;其余内容请在仓库中阅读